AI-Augmented Senior Data Scientist and AI Specialist

Role: AI-Augmented Sr. Data Scientist and AI Specialist Company: Pyvot, India [linkedin] [website] Product: Mynt [Focus on Generative AI, Cloud/AWS, AI Agents, MLOps, AI Governance] Location: Kolkata [Work From Office] Experience Range: 5-15 years Reports To: The Chief Technology Officer The Elevator Pitch of the Role: We aren’t looking for a traditional Data Scientist or AI engineer. We want a high-energy Architect, a smart Builder and a shrewd Technical Force Multiplier, who is at the cutting-edge of GenAI. You will create a world-class AI-Assistant for Business Intelligence (BI), in our product, to deliver immediate actionable insights to our customers. You bridge the gap between raw restaurant data and real-time conversational experiences. Role Summary: Your mission is the end-to-end creation, enhancement & governance of the AI Assistant. This is a high-stakes, multi-agent, RAG-driven AI system that empowers non-technical restaurant owners to ask complex questions of their data. You will own the entire pipeline & workstream, from initial data exploration & analysis to final response creation & monitoring. The AI-Augmented Edge At Pyvot, we don't just build AI; we live it. You are expected to achieve a 2x-5x speed-up in development by treating AI Agents & GenAI tools (e.g. Cursor, Claude, Gemini, Replit) as your primary workforce. Your value is measured by your architectural smarts, innovative problem-solving, AI-integrity/accuracy, and fast delivery… not by your speed of coding! Core Responsibilities: Design, Build & Manage Lifecycle of AI systems Multi-Agent Orchestration: Design and implement multi-agent workflow(s) for AI functionalities: Intent Detection, Creation of High-Quality Response, Logic Audit, Query Clarification, Syntax-Validation, Auto-Visualization, SQL Generation, etc. Intelligence Enhancement: Build a Human-in-the-Loop (HITL) based feedback flywheel & loops to constantly improve golden data store & response accuracy. Semantic Layer Mastery: Construct Data Dictionary to define complex business terms. Ensure the AI speaks the language of our customers & business stakeholders, in a friendly but professional tone, that is warm & human-like & easy to understand. AI Governance and Full-Stack AI Execution: Own the AI-Assistant Roadmap. Deploy LLMs & Perform code execution via AWS services. Ensure high quality code. Data Governance & Observability: Ensure every AI-generated SQL/Code is analysed & evaluated before & after execution. Maintain strict data quality / sanity / reliability standards; syntax+logical correctness/consistency; & semantic accuracy. Role’s Requirements: The Intersection of Data Rigor and AI/GenAI Innovation We are looking for a world-class AI specialist who is part Cloud AI Practitioner, part Data Science (DS) innovator, and part MLOps ninja. Essentially, a fullstack AI expert. [MH] Must-Have Skills & Experience AI/ML Core: 5+ years of experience with Python, AI libraries, GIT, GitHub, production grade AI/ML models & systems. 5+ years developing innovative AI & DS features. GenAI & RAG: Experience building high quality Retrieval-Augmented Generation (RAG) architectures, Knowledge-Bases (KBs), & AI-Agents, using LLMs. Data Engineering (DE): Deep proficiency in SQL and PostgreSQL, and vector databases for semantic search. Experience with vector embeddings and ETL. Cloud AI Practitioner: Hands-on experience with AWS Bedrock, Lambda, RDS, Sagemaker, AI-Agent frameworks and other AI Services in AWS/GCP/Azure. AI Tooling Expertise: Expert-level usage of Cursor, Claude Code, Gemini, or Replit to automate design, code generation, debugging, testing and deployment. [SH] Should-Have Skills & Experience Conversational BI: Experience building AI Assistants providing instant customized insights in response to natural language queries, using LLMs like Claude or GPT. Orchestration Frameworks: Experience with AgentCore, LangGraph, N8N, or CrewAI, for multi agent pipelines/workflows. Exp with Linux & open-source tools. Financial/Fintech/AI Rigor: Can handle complex financial metrics & ensure data sanity & quality. Ability to understand/improve model quality & monitor for model drift. MLOps & AI Governance: CI/CD for LLMs, Prompt Engineering, Versioning, AI/ML Models Selection/Training/Fine-Tuning/Testing/Monitoring, Robust SCM practices, Agile/Scrum, AI Reliability, Security, AI Performance & Cost Optimization, etc. [GTH] Good-To-Have Skills & Experience Educational Background: Degree in Computer Science or Engineering or Data Science or AI/ML from a premier institution (IITs/NITs/BITS/IIIT) or a top university. Frontend & Backend Experience: Vibe-coding on React UI, Visualizations (using Charts.js, D3.js, etc.), Streamlit, FastAPI (APIs), etc., to complete AI Assistant POCs. Prototyping Speed: Ability to build prototypes of AI features and AI/ML/GenAI POCs (using AI Agents & AI tools) fast, give good demos, & iterate fast to improve quality. The Net Crux Success isn't just about shipping AI code, it's about building trust. You are creating the brain of the Mynt ecosystem. If a restaurant owner asks a plain language question, the AI Assistant system built by you will return accurate answers and high quality conversational responses that will delight the user and benefit their business. About Us: About Pyvot The Company & The Culture: Overview Welcome to Pyvot. Pyvot your perspective. Based in the heart of Kolkata’s IT Hub (Salt Lake), Pyvot is a tech-focused business analytics and consulting powerhouse. Founded by industry leaders from top e-commerce companies and premier institutes, we specialize in scaling restaurant chains through data-driven strategy and cutting-edge engineering. At Pyvot (a.k.a. Pyvot Consultancy and Analytics Private Limited), we scale restaurants, brands and chains through AI-driven deep insights and hands-on strategic consulting support, directly lifting the revenue and increasing the profitability of the restaurants, brands, and chains. Our Culture: Silicon Valley in Kolkata We are visionaries and dreamers aiming to disrupt an industry and to create a category-defining product. Forward-Thinking: We experiment fast, learn fast, and achieve success fast. Cutting Edge: You will work with the latest GenAI and AI technologies. Autonomy: Work on your preferred hardware (laptop) and platform of choice (OS, frameworks) within our architectural boundaries and constructs. Tools: As a key member of the tech team of our startup, you will have access to best-in-class software development tools, AI services, and cloud infrastructure. Balance: We work hard, we party, and we stay relaxed. Our office features PlayStation and TT (after hours) to keep the energy high. Community: Monthly team-building activities, including cricket/football tournaments and outings, ensure our team stays healthy, happy, and fit. Let’s Pyvot the industry together.

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